Title Statements
- Full title :Statistics : concepts and controversies / David S. Moore, Purdue University, William I. Notz, the Ohio State University.
Summary
No textbook communicates the basics of statistical analysis to liberal arts students as effectively as the bestselling Statistics: Concepts and Controversies (SCC). And no text makes it easier for these students to understand and talk about statistical claims they encounter in commercials, campaigns, the media, sports, and elsewhere in their lives. The new edition offers SCC's signature combination of engaging cases, real-life examples and exercises, helpful pedagogy, rich full-color design, and innovative media learning tools, all significantly updated Publisher's note.
Read More ↓Edition Statements
- Publication Date:©2014
- Edition:Eighth edition
Publication Statements
- Publisher(s):W.H. Freeman and Company
- Place of Publication:New York
- Language:eng
- Publication Date:©2014
Notes
"First printing"--Title page verso.
"Electronic Encyclopedia of Statistical Examples and Exercises (EESEE), Developed by The Ohio State University's Statistics Department, these electronic case studies provide you with a wide variety of timely, real examples with real data"--EESEE access card.
One "EESEE" access card with ISBN no. attached to the end of the text.
The Physical Object
- Description:xxx, 642 pages : : color illustrations ; : 23 cm
Edition Identifiers
- ISBN:9781464125669, 146412566X, 9781464123733, 146412373X, 9781464125638, 1464125635
- oclc:ocn830679863
- LC Classification:QA276.12
- Dewey Decimal:519.5
Table of Contents
Part I: Producing data. Where do data come from? ; Samples, good and bad ; What do samples tell us? ; Sample surveys in the real world ; Experiments, good and bad ; Experiments in the real world ; Data ethics ; Measuring ; Do the numbers make sense? -- Part II: Organizing data. Graphs, good and bad ; Displaying distributions with graphs ; Describing distributions with numbers ; Normal distributions ; Describing relationships : scatterplots and correlation ; Describing relationships : regression, prediction, and causation ; The consumer price index and government statistics -- Part III: Chance. Thinking about chance ; Probability models ; Simulation ; The house edge : expected values -- Part IV: Inference. What is a confidence interval? ; What is a test of significance? ; Use and abuse of statistical inference ; Two-way tables and the chi-square test.
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